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The Moscow market in the country’s economic space

Author

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  • Gluschenko, Konstantin

    () (Institute of Economics and Industrial Engineering (Siberian Branch of the Russian Academy of Sciences), and Novosibirsk State University; Novosibirsk, Russian Federation)

Abstract

This paper studies integration of the Moscow market for final goods with markets of all other Russian regions. It considers an aggregated market represented by a minimum food basket. The law of one price serves as a criterion of market integration. It is a base for constructing time series models of the regional costs of the staples basket over 2001–2015 relative to its cost in Moscow. Regional markets are divided into four groups: integrated with the Moscow market, conditionally integrated with it, not integrated but tending towards integration with the Moscow market, and neither integrated nor tending towards integration. Nonlinear time series models with asymptotically decaying trends capture a movement towards integration (price convergence).

Suggested Citation

  • Gluschenko, Konstantin, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 48, pages 5-21.
    • Handle: RePEc:ris:apltrx:0328
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    References listed on IDEAS

    as
    1. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," Review of Economic Studies, Oxford University Press, vol. 63(3), pages 435-463.
    2. repec:hhs:bofitp:2006_007 is not listed on IDEAS
    3. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    4. Глущенко К.П., 2007. "Влияние Организованной Преступности На Региональную Дифференциацию Цен," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(2), апрель.
    5. Gluschenko, Konstantin, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 48, pages 5-21.
    6. Akhmedjonov, Alisher & Lau, Chi Keung, 2012. "Do energy prices converge across Russian regions?," Economic Modelling, Elsevier, vol. 29(5), pages 1623-1631.
    7. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
    8. Bruce L. Gardner & Karen M. Brooks, 1994. "Food Prices and Market Integration in Russia: 1992–93," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 641-646.
    9. Berkowitz, Daniel & DeJong, David N. & Husted, Steven, 1998. "Quantifying Price Liberalization in Russia," Journal of Comparative Economics, Elsevier, vol. 26(4), pages 735-760, December.
    10. Gluschenko, Konstantin, 2011. "Price convergence and market integration in Russia," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 160-172, March.
    11. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    12. Barry K. Goodwin & Thomas J. Grennes & Christine McCurdy, 1999. "Spatial price dynamics and integration in russian food markets," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 3(2), pages 157-193.
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    1. repec:ris:apltrx:0328 is not listed on IDEAS
    2. Gluschenko, Konstantin, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 48, pages 5-21.

    More about this item

    Keywords

    market integration; law of one price; price convergence; nonlinear trend; Russian regions;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • P22 - Economic Systems - - Socialist Systems and Transition Economies - - - Prices
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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